Program Leader

Chief Investigators

Affiliate Investigators

Research Fellows

HDR students

  • Alia Azmi

    PhD Candidate | Thesis - The role of The Conversation Indonesia in communicating scientific knowledge: Indonesia's digital debates on sexual violence

  • Louisa Bartolo

    PhD Candidate | Thesis - You might like this, but at what cost? Considering the social responsibilities of digital platforms' recommender systems

  • Mubarak Abdulla Alkebaisi (Alkubaisi)

    PhD Candidate | Thesis - Internet distributed television and the disruption of the business dynamics of cultural goods in the Arabian States of the Gulf

  • Dan Dai

    PhD Candidate | Thesis - Comparative analysis of COVID-19 misinformation and hate speech on Chinese Weibo and the Australian Twittersphere

  • Anand Badola

    PhD Candidate | Thesis - Rethinking the Public Sphere in India: Analysing the Discursive Dynamics in Social Media

  • Lisa Harrison

    DCI Candidate | Thesis - What makes an influencer? Personal branding strategies of successful social media users

  • Nadia Jude

    PhD Candidate | Thesis - ‘Have we reached tipping point?’ Determining if, who, when, where and how official actors should respond to online misinformation and disinformation.

  • Kateryna Kasianenko

    PhD Candidate | Thesis - Cosmopolitanism and Transnationalism of Digital Publics

  • Maxwell Melit

    MPhil Student | Thesis - Value perception and consumption habits of online news amongst young Australian adults during and after the COVID-19 pandemic

  • Lucinda Nelson

    PhD Candidate | Thesis - Measuring Misogyny: Digital Methods for Evaluating Structural Inequality on Social Media Platforms

  • Sam Regi

    MPhil Student | Thesis - Impacts of Process Journalism with marginalised communities: Amplifying the voices of the Royal Commission into Aged Care

  • Luke Troynar

    PhD Candidate | Thesis - Decoding the Political Ideology of Internet Meme Subcultures Using Pragmasemiotic Methods

  • Guangnan (Rio) Zhu

    PhD Candidate l Thesis - A novel framework for detecting and analysing coordinated inauthentic behaviour using multimodal data